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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
network reaches the world's leading companies, policy agencies and universities. We strongly believe that the way in which we operate is defined by our Values and Behaviours and encourage you to apply
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extraordinary ideas - and the people who discover them The Opportunity The Level A Research Fellow is responsible for advancing the research objectives of the University by contributing to defined research
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team undertakes research into the health risks of environmental hazards. The team has high level biostatistical skills and experience and a broad collaborative network across Australia and
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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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collaboration with national and international development partners. Collect and analyse data from fieldwork and desktop research Develop and maintain global stakeholder networks in poverty and sustainability
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criteria A PhD in Computer Science or Software Engineering or Computational Statistics, or a related field; or a Master’s qualification in a relevant field and/or equivalent demonstrated experience
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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled. We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Advance Net Zero with sustainable feedstock solutions for low-carbon fuels Lead
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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is